The majority of my work focuses on the computer analysis of
audio and music signals. It combines ideas from digital signal
processig, machine learning, and human and computer interaction.
I also love computer programming, shooting hoops, and playing music
usually without using computers. You can find more about my research,
teaching, publications, music, and students by exploring this site.
News and random musings can be found in my blog.
More details about me can be found in my bio bellow and even more
information can be found in my CV.

Bio

George Tzanetakis is a BarProfessor in the
Department of Computer Science with cross-listed
appointments in ECE and Music
at the University of Victoria, Canada. He is the Canada Research Chair
(Tier II) in the Computer Analysis of Audio and Music and received
the Craigdarroch research award in artistic expression at the
University of Victoria in 2012. In 2011 he was Visiting Faculty at
Google Research. He received his PhD in Computer Science at Princeton
University in 2002 and was a Post-Doctoral fellow at Carnegie Mellon
University in 2002-2003. His research spans all stages of audio
content analysis such as feature extraction,segmentation,
classification with specific emphasis on music information
retrieval. He is also the primary designer and developer
of Marsyas an open source framework for audio processing with specific
emphasis on music information retrieval applications. His pioneering
work on musical genre classification received a IEEE signal processing
society young author award and is frequently cited. More recently he
has been exploring new interfaces for musical expression, music
robotics, computational ethnomusicology, and computer-assisted music
instrument tutoring. These interdisciplinary activities combine ideas
from signal processing, perception, machine learning, sensors,
actuators and human-computer interaction with the connecting theme of
making computers better understand music to create more effective
interactions with musicians and listeners.